Author

N. H. Nguyễn

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Preprint Sep 2026

A Spectral Model-Informed Neural Network for Inverse Source Problems

In this paper, we propose an unsupervised, two-step model-informed deep learning framework for solving the inverse source problem. In the first step, boundary measurement data are transformed into an imaging function that encodes information about the shape and location of the unknown source. Leveraging this informatio...

Dinh-Liem Nguyen, N. H. Nguyễn, Aravinth K. Ravi · 1 citation

Preprint Sep 2026

A Model-Informed Deep Learning Algorithm for Solving the Phaseless Inverse Scattering Problem

We study in this paper an unsupervised, two-step, model-informed deep learning framework for solving the phaseless inverse scattering problem. The objective is to reconstruct a compactly supported function that characterizes a scatterer from boundary measurements of the modulus of the total wave corresponding to multip...

Dinh-Liem Nguyen, N. H. Nguyễn, Aravinth K. Ravi · 0 citations